mirror of https://github.com/whit3rabbit/anyllm-proxy.git synced 2026-09-22 16:00:51 +00:00

Files

T

whit3rabbitandClaude Sonnet 4.6 545bdbbbd3 feat: add bedrock native passthrough, generic passthrough, provider docs, and managed backend fixes

Adds bedrock_native.rs (Converse/InvokeModel with SigV4) and
generic_passthrough.rs catch-all for Translate mode. Adds comprehensive
provider reference docs (docs/providers/, docs/ENDPOINTS.md). Fixes
managed backend admin UI (BackendForm, ManagedBackendsSection) and
admin route/model handler issues. Adds automated model pricing update
workflow (scripts/update_pricing.py, .github/workflows/update-pricing.yml).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-08 16:36:16 -05:00

2.3 KiB

Raw Permalink Blame History

OVHCloud AI Endpoints

EU-based managed AI inference endpoints with per-deployment URLs.

LiteLLM prefix: ovhcloud/
Status: Stub — routes through OpenAI-compatible client
Docs: https://endpoints.ai.cloud.ovh.net

Authentication

Variable	Required	Description
`OVH_AI_ENDPOINTS_ACCESS_TOKEN`	Yes	Access token from the OVHCloud AI Endpoints console

Quick Start

Single-Backend (env vars)

OVHCloud does not have a single shared base URL. Each deployment has its own endpoint. Set OPENAI_BASE_URL to your deployment URL from the OVHCloud console.

BACKEND=ovhcloud \
  OVH_AI_ENDPOINTS_ACCESS_TOKEN=your-token \
  OPENAI_BASE_URL=https://<your-endpoint>.endpoints.kepler.ai.cloud.ovh.net/api/openai_compat/v1 \
  cargo run -p anyllm_proxy

LiteLLM YAML Config

model_list:
  - model_name: llama-70b
    litellm_params:
      model: ovhcloud/Meta-Llama-3.1-70B-Instruct
      api_key: "env:OVH_AI_ENDPOINTS_ACCESS_TOKEN"
      api_base: "https://<your-endpoint>.endpoints.kepler.ai.cloud.ovh.net/api/openai_compat/v1"

Usage Examples

Anthropic Messages API

curl http://localhost:3000/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: $PROXY_API_KEYS" \
  -d '{"model": "Meta-Llama-3.1-70B-Instruct", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'

OpenAI Chat Completions API

curl http://localhost:3000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PROXY_API_KEYS" \
  -d '{"model": "Meta-Llama-3.1-70B-Instruct", "messages": [{"role": "user", "content": "Hello"}]}'

Capabilities

Feature	Supported
Chat Completions	✓
Streaming	✓
Tool Use	✓
Embeddings	—
Vision	—
Batch	—

Notable Models

Model ID	Notes
`Meta-Llama-3.1-70B-Instruct`	Meta Llama 3.1 70B
`Mistral-7B-Instruct-v0.3`	Mistral 7B Instruct

Notes

Each OVHCloud AI endpoint has a unique URL assigned at deployment time. There is no global base URL. Obtain your endpoint URL from the OVHCloud AI Endpoints console and set it via api_base in YAML config or OPENAI_BASE_URL env var. Endpoints are hosted in EU data centers.

2.3 KiB Raw Permalink Blame History